Detection of abrupt changes in statistical models
This dissertation investigates different types of disorder problems by using sequential procedures for on-line implementation. The problem is considered within the framework of detecting abrupt changes in an observed random process when the disorder can occur at unknown times. The focus of this work...
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| Language: | en_US |
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Monterey, California. Naval Postgraduate School
2014
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| Online Access: | http://hdl.handle.net/10945/43764 |